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Free module

Linear algebra for computing

Learn linear algebra for computing hands on: vectors, dot products, matrices, rotations, solving equations and eigenvectors, worked in Python.

6 lessons360 min lessonFoundations

The lessons

Each lesson is free to read in full. Create a free account to run its commands in a live lab and to sit its quizzes and tasks.

  1. 1 · Container lab

    Vectors in linear algebra

    I can add vectors, scale them and measure their length.

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  2. 2 · Container lab

    Dot product and cosine similarity

    I can use the dot product to say how much two vectors agree.

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  3. 3 · Container lab

    How to multiply matrices

    I can multiply a matrix by a vector and by another matrix.

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  4. 4 · Container lab

    Matrix transformations and rotation

    I can read a matrix as a rotation, a scaling or a flip.

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  5. 5 · Container lab

    Solving systems of equations

    I can solve a small system by elimination and say when it has none or many answers.

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  6. 6 · Container lab

    Eigenvectors and eigenvalues explained

    I can say what an eigenvector is and why machine learning uses them.

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Worked in a real lab

Every lesson of this module is worked in a lab started for you alone. The labs it uses:

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